SIXray [1]} is a recently introduced large-scale security inspection X-ray dataset. It contains a total of 1,059,231 colored X-ray scans from which 8,929 scans are positive (containing prohibited items such as knives, wrenches, guns, pliers, hammer and scissors along with their ground truths), and 1,050,302 are negative (containing only the normal items). To validate the performance against class imbalance, the authors of the dataset presented three subset schemes of the dataset, namely, SIXray10, SIXray100, and SIXray1000 [1]}. Moreover, SIXray [1]} is also the largest and most challenging dataset (to date) designed to assess threat detection frameworks' performance towards screening extremely cluttered and highly imbalanced contraband data [1]}, [5]}. As per the SIXray [1]} dataset standard, we used 80% scans for the training and the rest of 20% for testing.
